Influencing factors for sarcopenia in type 2 diabetes patients

Jianzheng YANG; Lihua ZOU; Tao YANG; Shiqin ZHU; Hui LIU; Mingxing LI

doi:10.16016/j.2097-0927.202303049

您当前的位置：

首页 >

文章列表页 >

Influencing factors for sarcopenia in type 2 diabetes patients

Clinical Medicine | 更新时间：2026-01-09

- Influencing factors for sarcopenia in type 2 diabetes patients
- Journal of Army Medical University Vol. 45, Issue 14, Pages: 1562-1568(2023)
- 作者机构：
  
  1.646000 四川泸州，西南医科大学附属医院：超声科
  2.646000 四川泸州，西南医科大学附属医院：内分泌与代谢内科
- 作者简介：
- 基金信息：
- DOI：10.16016/j.2097-0927.202303049
  CLC： R195.4;R587.1;R591
- Received：09 March 2023，
  
  Revised：2023-04-12，
  
  Published：30 July 2023
- 稿件说明：
移动端阅览
Jianzheng YANG, Lihua ZOU, Tao YANG, et al. Influencing factors for sarcopenia in type 2 diabetes patients[J]. Journal of Army Medical University, 2023, 45(14): 1562-1568.
DOI：

Jianzheng YANG, Lihua ZOU, Tao YANG, et al. Influencing factors for sarcopenia in type 2 diabetes patients[J]. Journal of Army Medical University, 2023, 45(14): 1562-1568. DOI： 10.16016/j.2097-0927.202303049.

摘要

目的

分析2型糖尿病患者(type 2 diabetes mellitus，T2DM)肌肉减少症(简称肌少症)发病的人口学及常用实验室指标影响因素。

方法

采用横断面研究设计方案，收集2021年7月至2022年6月我院住院的2型糖尿病69例患者病例资料。按照是否发生肌少症分为病例组和对照组，收集各组患者人口学及临床实验室常用指标。比较2组间各指标差异，并将单因素分析存在统计学差异的变量纳入多因素Logistic回归分析，探索T2DM人群肌少症发病的影响因素。

结果

人口学及常用实验室指标分析显示: 年龄越大，T2DM人群患肌少症风险越高，差异具有统计学意义(

=1.091，95%

: 1.020~1.168，

=0.011

)；BMI越低，T2DM人群患肌少症风险越高，差异具有统计学意义(

=0.691，95%

: 0.538~0.889，

=0.004)；收缩压越高，T2DM人群患肌少症风险越高，差异具有统计学意义(

=1.066，95%

: 1.014~1.121，

=0.012)。白细胞计数、空腹葡萄糖、糖化血红蛋白、丙氨酸氨基转移酶、天门冬氨酸氨基转移酶、白蛋白、尿酸、低密度脂蛋白、高密度脂蛋白、血清钙、血清磷暂未发现在T2DM人群有预测肌少症的价值。

结论

在T2DM人群中，肌少症患病的人口学指标风险因素有高龄、低BMI、高收缩压；暂未发现常用实验室指标能预测T2DM人群肌少症的发生。

Abstract

Objective

To explore the demographic and commonly-used laboratory indicators influencing the occurrence of sarcopenia in patients with type 2 diabetes mellitus (T2DM).

Methods

A cross-sectional trial was conducted on 69 T2DM patients admitted to our hospital from July 2021 to June 2022. They were divided into case group and control group according to whether they complicated with sarcopenia or not. Their demographic data and laboratory indicators commonly used clinically were collected and compared. The variables with statistically significant differences in the univariate analysis were further included in multivariate logistic regression analysis to explore the influencing factors of the occurrence of sarcopenia in the T2DM patients.

Results

Analysis of demographic and common laboratory indicators showed that in the T2DM patients

the older the age

the higher risk of sarcopenia was (

=1.091

95%

: 1.02-1.168

=0.011); the lower the body mass index (BMI) value

the higher the risk of sarcopenia was (

=0.691

95%

: 0.538-0.889

=0.004); the higher the systolic blood pressure (SBP)

the higher the risk of sarcopenia was (

=1.066

95%

: 1.014-1.121

=0.012). White blood cell count

fasting glucose

glycosylated hemoglobin

alanine aminotransferase

aspartate aminotr

ansferase

albumin

uric acid

low-density lipoprotein

high-density lipoprotein

serum calcium

and serum phosphorus had no predictive value for sarcopenia in T2DM patients.

Conclusion

In T2DM patients

the demographic factors older age

low BMI and high SBP are associated with occurrence of sarcopenia. But

there has been no evidence of commonly used clinical laboratory indicators having such predictive value.

关键词

Keywords

references

CHEN L K, WOO J, ASSANTACHAI P, et al . Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment[J ] . J Am Med Dir Assoc, 2020, 21(3): 300-307. e2. DOI: 10.1016/j.jamda.2019.12.012.

ANAGNOSTIS P, GKEKAS N K, ACHILLA C, et al . Type 2 diabetes mellitus is associated with increased risk of sarcopenia: a systematic review and meta-analysis[J ] . Calcif Tissue Int, 2020, 107(5): 453-463. DOI: 10.1007/s00223-020-00742-y.

中国2型糖尿病防治指南(2020年版)(上)[J ] . 中国实用内科杂志, 2021, 41(08): 668-695. DOI: 10.19538/j.nk2021080106 http://dx.doi.org/10.19538/j.nk2021080106 .

Chinese guidelines for the prevention and treatment of type 2 diabetes (2020 edition) (Part 1)[J ] . Chin J Pract Intern Med, 2021, 41(8): 668-695. DOI: 10.19538/j.nk2021080106 http://dx.doi.org/10.19538/j.nk2021080106 .

MINETTO M A, BUSSO C, GAMERRO G, et al . Quantitative assessment of volumetric muscle loss: dual-energy X-ray absorptiometry and ultrasonography[J ] . Curr Opin Pharmacol, 2021, 57: 148-156. DOI: 10.1016/j.coph.2021.02.002.

AL-OZAIRI E, ALSAEED D, ALROUDHAN D, et al . Skeletal muscle and metabolic health: how do we increase muscle mass and function in people with type 2 diabetes?[J ] . J Clin Endocrinol Metab, 2021, 106(2): 309-317. DOI: 10.1210/clinem/dgaa835.

ROSENBERG I H. Summary comments[J]. Am J Clin Nutr, 1989, 50(5): 1231-1233. DOI: 10.1093/ajcn/50.5.1231.

GOODPASTER B H, PARK S W, HARRIS T B, et al . The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study[J ] . J Gerontol A Biol Sci Med Sci, 2006, 61(10): 1059-1064. DOI: 10.1093/gerona/61.10.1059.

IZZO A, MASSIMINO E, RICCARDI G, et al . A narrative review on sarcopenia in type 2 diabetes mellitus: prevalence and associated factors[J ] . Nutrients, 2021, 13(1): 183. DOI: 10.3390/nu13010183.

IDA S, NAKAI M R, ITO S, et al . Association between sarcopenia and mild cognitive impairment using the Japanese version of the SARC-F in elderly patients with diabetes[J ] . J Am Med Dir Assoc, 2017, 18(9): 809.e9-809.e13. DOI: 10.1016/j.jamda.2017.06.012.

SUGIMOTO K, TABARA Y, IKEGAMI H, et al . Hyperglycemia in non-obese patients with type 2 diabetes is associated with low muscle mass: the Multicenter Study for Clarifying Evidence for Sarcopenia in Patients with Diabetes Mellitus[J ] . J Diabetes Investig, 2019, 10(6): 1471-1479. DOI: 10.1111/jdi.13070.

SALTIEL A R. Insulin signaling in health and disease[J]. J Clin Invest, 2021, 131(1): e142241. DOI: 10.1172/JCI142241.

MAIESE K. FoxO transcription factors and regenerative pathways in diabetes mellitus[J]. Curr Neurovasc Res, 2015, 12(4): 404-413. DOI: 10.2174/1567202612666150807112524.

DEFRONZO R A, FERRANNINI E, GROOP L, et al . Type 2 diabetes mellitus[J ] . Nat Rev Dis Primers, 2015, 1: 15019. DOI: 10.1038/nrdp.2015.19.

ATHYROS V G, DOUMAS M, IMPRIALOS K P, et al . Diabetes and lipi d metabolism[J ] . Hormones, 2018, 17(1): 61-67. DOI: 10.1007/s42000-018-0014-8.

PEI J L, WANG B C, WANG D Y. Current studies on molecular mechanisms of insulin resistance[J]. J Diabetes Res, 2022, 2022: 1863429. DOI: 10.1155/2022/1863429.

XU Z Y, YOU W J, CHEN W T, et al . Single-cell RNA sequencing and lipidomics reveal cell and lipid dynamics of fat infiltration in skeletal muscle[J ] . J Cachexia Sarcopenia Muscle, 2021, 12(1): 109-129. DOI: 10.1002/jcsm.12643.

LIGUORI I, RUSSO G, CURCIO F, et al . Oxidative stress, aging, and diseases[J ] . Clin Interv Aging, 2018, 13: 757- 772. DOI: 10.2147/CIA.S158513.

LUC K, SCHRAMM-LUC A, GUZIK T J, et al . Oxidative stress and inflammatory markers in prediabetes and diabetes[J ] . J Physiol Pharmacol, 2019, 70(6). DOI: 10.26402/jpp.2019.6.01.

LEDUC-GAUDET J P, HUSSAIN S N A, BARREIRO E, et al . Mitochondrial dynamics and mitophagy in skeletal muscle health and aging[J ] . Int J Mol Sci, 2021, 22(15): 8179. DOI: 10.3390/ijms22158179.

THIPSAWAT S. Early detection of diabetic nephropathy in patient with type 2 diabetes mellitus: a review of the literature[J]. Diab Vasc Dis Res, 2021, 18(6): 14791641211058856. DOI: 10.1177/14791641211058856.

KAMWA V, WELCH C, HASSAN-SMITH Z. The endocrinology of sarcopenia and frailty[J]. Minerva Endocrinol (Torino), 2021, 46(4): 453-468. DOI: 10.23736/S2724-6507.20.03198-3.

ROBINSON S M, REGINSTER J Y, RIZZOLI R, et al . Does nutrition play a role in the prevention and management of sarcopenia?[J ] . Clin Nutr, 2018, 37(4): 1121-1132. DOI: 10.1016/j.clnu.2017.08.016.

RONG S, WANG L L, PENG Z, et al . The mechanisms and treatments for sarcopenia: could exosomes be a perspective research strategy in the future?[J ] . J Cachexia Sarcopenia Muscle, 2020, 11(2): 348-365. DOI: 10.1002/jcsm.12536.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Predictive value of TyG-BMI, AIP, and postprandial glucose excursion for sarcopenia in patients with type 2 diabetes mellitus

Relative factors to sarcopenia in type 2 diabetes patients

Renal protective effect of equol on type 2 diabetic rats

Correlation of cumulative exposure to metabolic factors with progression of lower extremity arterial disease in type 2 diabetic patients

Epidemiology of major comorbidities in adult patients with osteoarthritis in Beijing from 2015 to 2017

Related Author

CHEN Yue¹

YU Weiwei

GAO Jin

CHEN Xingyu

CHENG Qingfeng

CUI Jian

Cheng CHEN

Qiao ZHANG

Related Institution

Department of Dermatology and Venereology

Department of Endocrinology，Jiangbei Branch/No.9, Hospital of PLA Army, First Affiliated Hospital， Army Medical University （Third Military Medical University）

Department of Endocrinology， the First Affiliated Hospital of Chongqing Medical University

Department of Pain Medicine， First Affiliated Hospital， Army Medical University （Third Military Medical University）

Department of Quality Control

⁰